Triple
T4701844
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Waimea, Hawaii County, Hawaii |
E104291
|
entity |
| Predicate | hasRanchingHeritage |
P40002
|
FINISHED |
| Object | true |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: true | Statement: [Waimea, Hawaii County, Hawaii, hasRanchingHeritage, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRanchingHeritage Context triple: [Waimea, Hawaii County, Hawaii, hasRanchingHeritage, true]
-
A.
hasRanch
Indicates that one entity owns, operates, or is associated with a ranch.
-
B.
hasNotableFarm
Indicates that an entity possesses or is associated with a farm that is considered notable or significant in some recognized way.
-
C.
hasAgriculturalCharacter
chosen
Indicates that something possesses qualities, features, or uses typical of agriculture or farming activities.
-
D.
hasCavalryHeritage
Indicates that an entity has a historical or traditional connection to cavalry forces or mounted military service.
-
E.
domesticatedBy
Indicates that one entity has been tamed and bred by another, typically a human or group, for companionship, work, or other purposes.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69bd43e9b88481908582103dcadff3d9 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd650ad0f88190844bfcb46b3071c2 |
completed | March 20, 2026, 3:17 p.m. |
| PD | Predicate disambiguation | batch_69bd621ba7448190a53ab1e2897acf71 |
completed | March 20, 2026, 3:04 p.m. |
Created at: March 20, 2026, 1:17 p.m.